SOTAVerified

Long-range modeling

A new task for testing the long-sequence modeling capabilities and efficiency of language models.

Image credit: SCROLLS: Standardized CompaRison Over Long Language Sequences

Papers

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Showing 51–60 of 95 papers

TitleStatusHype
V4D:4D Convolutional Neural Networks for Video-level Representation LearningCode1
VADMamba: Exploring State Space Models for Fast Video Anomaly DetectionCode1
ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM PretrainingCode1
Weakly Supervised Object Localization via Transformer with Implicit Spatial CalibrationCode1
What Makes Convolutional Models Great on Long Sequence Modeling?Code1
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identificationCode0
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language ModelsCode0
Dimension Mixer: Group Mixing of Input Dimensions for Efficient Function ApproximationCode0
Diagonal State Spaces are as Effective as Structured State SpacesCode0
RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image RegistrationCode0
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